THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Inhibition of anaerobic digestion process: A review

The American Society for Testing and Materials (ASTM) is an independent organization devoted to the development of standards.

American Society for Testing and Materials

https://cmapspublic3.ihmc.us/rid=1N3976C22-12M3P49-9V/Holladay%20et%20al.%20-%202009%20-%20An%20overview%20of%20hydrogen%20production%20technologies.pdf

An overview of hydrogen production technologies

Extracellular polymeric substances (EPS) of microbial aggregates in biological wastewater treatment systems: a review.

Novel anaerobic process for the recovery of methane and compost from food waste.

Effect of condensate of food waste (CFW) on nutrient removal and behaviours of intercellular materials in a vertical submerged membrane bioreactor (VSMBR)

This work proposes a sequential modelling approach using an artificial neural network (ANN) to develop four independent multivariate models that are able to predict the dynamics of biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solid (SS), and total nitrogen (TN) removal in a wastewater treatment plant (WWTP). Suitable structures of ANN models were automatically and conveniently optimized by a genetic algorithm rather than the conventional trial and error method. The sequential modelling approach, which is composed of two parts, a process disturbance estimator and a process behaviour predictor, was also presented to develop multivariate dynamic models. In particular, the process disturbance estimator was first employed to estimate the influent quality. The process behaviour predictor then sequentially predicted the effluent quality based on the estimated influent quality from the process disturbance estimator with other process variables. The efficiencies of the developed ANN models with a sequential modelling approach were demonstrated with a practical application using a data set collected from a full-scale WWTP during 2 years. The results show that the ANN with the sequential modelling approach successfully developed multivariate dynamic models of BOD, COD, SS, and TN removal with satisfactory estimation and prediction capability. Thus, the proposed method could be used as a powerful tool for the prediction of complex and nonlinear WWTP performance.

Sequential modelling of a full-scale wastewater treatment plant using an artificial neural network.

Lipids inhibition and their degradation in dairy wastewater treatment were investigated in this study. A two-phase system, composed of an acidogenic continuously stirred tank reactor (CSTR) and a methanogenic upflow anaerobic sludge blanket (UASB) reactor, was compared with the single-phase system of a conventional UASB reactor. The systems were operated up to an organic loading rate of 8.09 g chemical oxygen demand (COD)/L x d at a lipid loading rate of 2.94 g COD/L x d. The two-phase system showed better performance in COD removal (1.19 times), lipids removal (1.92 times), and methane production (1.42 times) compared with the single-phase system. The degradation of lipids and the saturation of the double-bonded lipids in the CSTR enhanced the performance of the system. In serum bottle tests at different lipids concentrations, a high lipids concentration resulted in a long lag-phase time for methane production. However, 69.5% of COD eventually was converted to methane within 50 days at 6.1 g lipid-COD/L.

Hang-Sik Shin

Papers

Novel anaerobic process for the recovery of methane and compost from food waste.

Effect of condensate of food waste (CFW) on nutrient removal and behaviours of intercellular materials in a vertical submerged membrane bioreactor (VSMBR)

Sequential modelling of a full-scale wastewater treatment plant using an artificial neural network.

Enhanced lipid degradation in an upflow anaerobic sludge blanket reactor by integration with an acidogenic reactor.

Rapid formation of hydrogen-producing granules in an up-flow anaerobic sludge blanket reactor coupled with high-rate recirculation